@inproceedings{836593bdec1d47898df4d383b47749db,
title = "Composite neural network load models for power system stability analysis",
abstract = "Proper load models are essential to power system stability analysis. This paper proposes a methodology for the development of neural network (NN) based composite load models for power system stability analysis. A two-step modeling procedure is proposed. First knowledge is acquired from a test bed of power systems based on detail load models of a bus to the distribution level. Then, the test bed data is used to develop a composite NN model. The developed NN model is updated based on measurements. A case study on a power inverter controling an induction motor load is presented.",
keywords = "Artificial neural networks, Composite load modeling, Power systems, Stability analysis",
author = "Ali Keyhani and Wenzhe Lu and Heydt, {Gerald T.}",
year = "2004",
month = dec,
day = "1",
language = "English (US)",
isbn = "078038718X",
series = "2004 IEEE PES Power Systems Conference and Exposition",
pages = "1159--1163",
booktitle = "2004 IEEE PES Power Systems Conference and Exposition",
note = "2004 IEEE PES Power Systems Conference and Exposition ; Conference date: 10-10-2004 Through 13-10-2004",
}